Description

This course introduces learners to basic artificial intelligence concepts and trends. Artificial Intelligence plays an increasingly important role in many industries. The emergence of this new technology promises to bring unprecedented efficiencies for organizations and enhance business performance. In today's global economy, managers will need to know how AI can be leveraged to keep their organizations competitive, as well as understand the potential ethical issues associated with employing AI technologies such as deep learning, machine learning, and the various AI-enabled recognition technologies.

Learning Outcomes

After completing this course, the learner should be able to:

Describe important events in the history of artificial intelligence

Compare knowledge-based systems to expert systems

Summarize the major characteristics of the different types of AI

Explain the Turing Test and other approaches to AI

Distinguish between machine learning and deep learning

Propose ways in which an AI can be designed to not cause harm to humans

Evaluate ethical concepts as they apply to AI

Demonstrate how natural language processing and generation work

Examine how computer vision, robotics, and Big Data relate to AI

Critique the use of AI in information security and the potential use of AI in attacks

Key Features

Expert-supported

Mobile-friendly

Accessible

Badge and credit-awarding

Games & Flashcards

Video content

Real-world case studies

Audio-enabled in app

Notes

This course has an "Ask the Expert" feature, which submits your questions directly to an expert in the field you are studying. Questions are answered as quickly as possible and usually within 24 hours.

This course does not require any additional purchases of supplementary materials.

Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive IACET CEU credit. Learners will have three attempts at all graded assessments.

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